A framework for robust scheduling under stochastic perturbations

Sara Himmiche (1) , Alexis Aubry (1) , Pascale Marangé (1) , Jean-François Pétin (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

Industry 4.0 reflects a new area for production workshops. This new concept aims to bring more flexibility and agility to the production shop floor. In this context, the scheduling problem is an important issue. In fact, a proposed schedule has to guarantee a high performance level able to take into consideration the several changes and perturbations occurring in the workshop. The proposed approaches usually aims to find a robust schedule capable of optimizing some criteria with considering a perturbation. With the new requirements of the workshop and the importance of decision making when implementing the schedule, it is essential to extend the robust scheduling problem to be adaptable to the needs of the decision maker in evaluating several properties. We propose, in this paper, a robust scheduling framework based on a robustness specification. The paper gives also the using of this framework in a decision making context.

Mots clés: Robust Scheduling; Stochastic Processes; Decision Support System

Domaines: Automatique / Robotique

Sara Himmiche, Alexis Aubry, Pascale Marangé, Jean-François Pétin. A framework for robust scheduling under stochastic perturbations. 17th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2021, Jun 2021, Budapest (virtual), Hungary. ⟨10.1016/j.ifacol.2021.08.137⟩. ⟨hal-03479703⟩